1 citations · 1 across the 3 of their papers we have counts for
3 papers
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
Christel Sirocchi, Muhammad Suffian, Federico Sabbatini +2
In clinical practice, decision-making relies heavily on established protocols, often formalised as rules. Concurrently, Machine Learning (ML) models, trained on clinical data, aspi…
Introducing User Feedback-based Counterfactual Explanations (UFCE)
Muhammad Suffian, Jose M. Alonso-Moral, Alessandro Bogliolo
Machine learning models are widely used in real-world applications. However, their complexity makes it often challenging to interpret the rationale behind their decisions. Counterf…
Distributed averaging for accuracy prediction in networked systems
Christel Sirocchi, Alessandro Bogliolo
Distributed averaging is among the most relevant cooperative control problems, with applications in sensor and robotic networks, distributed signal processing, data fusion, and loa…